Combat Financial Crimes

Financial fraud continues to affect the bottom line of financial service companies and its shareholders as criminals find new ways of exploiting weaknesses in systems and security. Whether it’s rogue credit card spend, illicit financial trades and transactions, or money laundering, combating fraud successfully depends the systems and applications use to fight fraud on having access to accurate, timely, and comprehensive data.

In response, banks and capital markets firms are investing in new fraud detection and anti-money laundering (AML) applications to win against this battle. Unfortunately, these systems often fall short of meeting business expectations because of data issues caused by inadequate data integration and data quality technologies and processes to help capture, transform, identify, and fix data quality issues. In addition, existing fraud and AML solutions lack capable and accurate identity matching and transaction monitoring capabilities to accurately recognize and identify suspicious activities.

In response, banks and capital markets firms are investing in new fraud detection and anti-money laundering (AML) applications to win against this battle. Unfortunately, these systems often fall short of meeting business expectations because of data issues caused by inadequate data integration and data quality technologies and processes to help capture, transform, identify, and fix data quality issues. In addition, existing fraud and AML solutions lack capable and accurate identity matching and transaction monitoring capabilities to accurately recognize and identify suspicious activities.

Identify and improve the quality of data to reduce the number false positives and missing fraudulent activities